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首页> 外文期刊>The journal of physical chemistry, C. Nanomaterials and interfaces >Broken Symmetry Approach to Magnetic Properties of Oligonuclear Transition-Metal Complexes: Application to Hyperfine Tensors of Mixed-Valence Manganese Compounds
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Broken Symmetry Approach to Magnetic Properties of Oligonuclear Transition-Metal Complexes: Application to Hyperfine Tensors of Mixed-Valence Manganese Compounds

机译:寡核核过渡金属配合物磁性损伤的破裂对称性方法:应用于混合价锰化合物的高血清张力

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摘要

The broken symmetry method is a standard approach for the calculation of isotropic exchange coupling constants in oligonuclear transition-metal compounds with density functional methods. It is most transparently derived through a mapping approach, where one maps energies calculated for broken symmetry configurations to the expectation value of Ising-type wave functions with a spin Hamiltonian. This approach is generalized to the anisotropic case, targeted at the calculation of zero-field splitting, g matrices, and hyperfine A tensors. Local quantities can be extracted from density functional calculations, which then give the final results by performing a spin projection through an exact diagonalization of a spin Hamiltonian. It is demonstrated how to do this within the strong exchange limit and beyond. In the case of hyperfine A tensors, more local quantities (on-site and off-site tensors) arise than treated in methods described so far. The importance of these off-site tensors in the hyperfine case is demonstrated in two pilot applications to mixed-valence manganese complexes (DTNE and a CaMn_(4) model for the S _(2) state of the oxygen-evolving center of photosystem II) that have already been studied using density functional methods.
机译:破裂的对称方法是用密度官能方法计算寡核核过渡 - 金属化合物中各向同性交换偶联常数的标准方法。它最透明地通过映射方法导出,其中一个地图用于破坏对称性配置的映射能量,以便与Spin Hamiltonian的ising型波函数的期望值。该方法是概括为各向异性的情况,靶向零场分裂, G矩阵和高血清张量。可以从密度函数计算中提取局部量,然后通过通过自旋哈密顿的精确对角线进行旋转投影来提供最终结果。据证明如何在强大的交换限额内完成这一点。在高血清张量的情况下,由于到目前为止所描述的方法中,产生的更多局部数量(现场和场外张量)。在两个试验型锰复合物(DTNE和CAMN_(4)模型的氧气演化中心的状态下,将这些异地张解纹体的重要性展示已经使用密度功能方法研究了已经研究过的照片II)。

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